Please use this identifier to cite or link to this item:
Type of publication: Tezės kituose recenzuojamuose leidiniuose / Theses in other peer-reviewed publications (T1e)
Field of Science: Matematika / Mathematics (N001);Miškotyra / Forestry (A004)
Author(s): Rupšys, Petras;Petrauskas, Edmundas
Title: A Mixed Effects Height-Diameter Model Based on Univariate Diffusion Process
Is part of: 4th Stochastic Modeling Techniques and Data Analysis International Conference and 5th Demographics Workshop : book of abstracts, University of Malta, Valletta, Malta, June 1-4, 2016. Valletta, 2016
Extent: p. 75-76
Date: 2016
Keywords: Stochastic differential equation;Maximum likelihood procedure;Vasicek's model;Tree diameter;Tree height
ISBN: 9786185180140
Abstract: Statistical models using stochastic differential equations to describe dynamical evolution of natural systems are appearing in the scientific literature with some regularity in recent years. In this paper, our aim is to describe how stochastic differential equations can be used to aid our understanding of the height-diameter process of an individual tree. The tree height distribution was examined by using a Vasicek type stochastic differential equation and mixed effects parameters. The drift function depends on random effects and a diffusion term without random effects. The parameters were estimated by considering discrete samples of the diameter and height of individual trees and by using a maximum likelihood procedure. Used dataset was provided by the Lithuanian National Forest Inventory (LNFI) (2006-2010) from Scots pine trees. All results are implemented in a symbolic algebra system MAPLE
Affiliation(s): Vytauto Didžiojo universitetas
Žemės ūkio akademija
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

Files in This Item:
marc.xml5.87 kBXMLView/Open

MARC21 XML metadata

Show full item record
Export via OAI-PMH Interface in XML Formats
Export to Other Non-XML Formats

CORE Recommender

Page view(s)

checked on Dec 9, 2020


checked on Dec 9, 2020

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.